Archive · 23 Sep 2026
India’s Enterprise AI Adoption Advances, But Maturity Remains Uneven
Indian companies are trying artificial intelligence in areas such as customer service, software and marketing.
Many companies are testing AI, but fewer have made it a lasting part of their everyday operations.
Turning a test into a real system can be difficult because data may be poor, systems may be old and security risks may exist.
Financial companies also need to follow strict rules and explain how AI makes decisions.
Businesses are spending more money on computers, cloud services, data systems and cybersecurity.
However, spending money does not automatically make an organisation good at using AI.
Companies also need leaders who guide AI projects and workers who understand how to use the tools.
Regular checks for performance and compliance can help organisations gain more value.
The article says India’s advantage will come from using AI effectively with its talent, technology and business experience.
Seventy-six percent of Indian companies are running GenAI proofs of concept or have investment plans, according to an IDC/IndiaAI study.
NASSCOM’s AI Adoption Index 2.0 rates India’s overall AI maturity at 2.47 out of 4, with 87% of organisations classified as Enthusiasts or Experts.
Data quality, security, regulatory requirements and infrastructure readiness remain major barriers to moving AI projects into production.
India’s AI and GenAI spending could reach roughly $6 billion by 2027, but investment alone does not ensure business value.
Sustainable adoption depends on leadership, governance, reliable data, infrastructure, workflow redesign and employee skills.
- Who
- Indian enterprises, their leaders and employees, with analysis from Ranjan Chopra of Team Computers.
- What
- Indian businesses are expanding AI experimentation and investment while working to move projects into durable, production-scale capabilities.
- When
- The article describes the current adoption trend and cites a 2024 Gartner survey, a 2027 spending forecast and a 2026 IT-spending projection.
- Where
- India.
- Why
- Businesses are seeking sustainable, measurable value from AI, but must address data, infrastructure, governance, security and skills challenges.
- GenAI experimentation
- 76% of Indian companies are running GenAI proofs of concept or have investment plans, according to an IDC/IndiaAI study.
- AI maturity
- India’s overall AI maturity score is 2.47 out of 4 in NASSCOM’s AI Adoption Index 2.0.
- Enthusiast or Expert organisations
- 87% of organisations are in the Enthusiast or Expert stages, according to NASSCOM.
- Projected AI spending
- India’s AI and GenAI spending could reach roughly $6 billion by 2027, according to IDC.
- Data readiness
- 63% of organisations either lack adequate data-management practices for AI or are uncertain about their readiness, according to Gartner.
- Dedicated AI leadership
- 91% of leaders at high-maturity organisations have appointed dedicated AI leaders, compared with 37% at low-maturity organisations.
- Governance and value
- Organisations that regularly assess AI performance and compliance are more than three times as likely to report high GenAI value.